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• W35357868 abstract "The chapter reviews current research results integrating machine learning and agent technologies. Although complementary solutions from both fields are discussed the focus is on using agent technology in the field of machine learning with a particular interest on applying agent-based solutions to supervised learning. The chapter contains a short review of applications, in which machine learning methods have been used to support agent learning capabilities. This is followed by a corresponding review of machine learning methods and tools in which agent technology plays an important role. Final part gives a more detailed description of some example machine learning models and solutions where the paradigm of the asynchronous team of agents has been implemented to support the machine learning methods, and which have been developed by the authors and their research group. It is argued that agent technology is particularly useful in case of dealing with the distributed machine learning problems. As an example of such applications a more detailed description of the agent-based framework for the consensus-based distributed data reduction is given in the final part of the chapter." @default.
• W35357868 created "2016-06-24" @default.
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• W35357868 date "2013-01-01" @default.
• W35357868 modified "2023-10-12" @default.
• W35357868 title "Machine Learning and Multiagent Systems as Interrelated Technologies" @default.
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• W35357868 doi "https://doi.org/10.1007/978-3-642-34097-0_1" @default.
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